AWS Machine Learning

NOVEMBER 7, 2024

AI agents , powered by large language models (LLMs), can analyze complex customer inquiries, access multiple data sources, and deliver relevant, detailed responses. In this post, we guide you through integrating Amazon Bedrock Agents with enterprise data APIs to create more personalized and effective customer support experiences.

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AWS Machine Learning

NOVEMBER 18, 2024

Data-driven insights can accelerate the process of identifying potential locations and improve decision-making. In this post, we show you how DXC and AWS collaborated to build an AI assistant using large language models (LLMs), enabling users to access and analyze different data types from a variety of data sources.

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AWS Machine Learning

OCTOBER 9, 2023

A recommendation engine is only as good as the data used to prepare it. Transforming raw data into a format that is suitable for a model is key to getting better personalized recommendations for end-users. Prerequisites First, we need to have an Amazon SageMaker Studio domain set up.

Personalization 113

Personalization Engineering Automotive Best practices 113

OctopusTech

NOVEMBER 11, 2024

Using data analytics allows you to identify trends and opportunities that enhance conversion rates, converting more visitors into paying customers. With that, let’s explore how e-commerce businesses can utilize data tools to engage with more customers, improve sales, and achieve better operations across the board.

Analytics 62

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Connect

SEPTEMBER 30, 2024

However, many contact centres struggle to achieve this goal due to four common challenges, with a lack of data-derived insights being the major stumbling block to success. #1 Cloud-based systems enable seamless data sharing across the organisation, providing agents with real-time access to integrated data.

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C3Centricity

JUNE 24, 2024

Insight development is based on gathering information, then data integration and analysis. Many companies struggle to benefit from all their data and information because they don’t know how to turn it into insight, or their insights remain interesting but not actionable. There are many reasons for this. None of these are!

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Surveys Personalization Technology Analytics 62

Totango

AUGUST 13, 2024

To pull this triple-win maneuver off, you need actionable customer data and a robust customer success platform (CSP). What data is available for each segment? The most important first step is to start gathering this data—if you don’t have it, you can’t fix it. Can you segment customers by contract value?

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AWS Machine Learning

JUNE 12, 2024

The main idea is to supply historic data to an ML algorithm that can identify patterns from the past and then use those patterns to estimate likely values about unseen periods in the future. Agribusinesses forecast crop yields using weather data like rainfall, temperature, humidity, and more.

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AWS Machine Learning

NOVEMBER 27, 2023

However, these models require massive amounts of clean, structured training data to reach their full potential. Most real-world data exists in unstructured formats like PDFs, which requires preprocessing before it can be used effectively. According to IDC , unstructured data accounts for over 80% of all business data today.

Engineering 95

Engineering APIs Big data Accountability 95

Call Design

OCTOBER 16, 2024

In today’s data-driven world, storytelling with data is more critical than ever. Numbers alone can feel cold and detached, but data can come alive when combined with a compelling narrative and thoughtful use of colour. This means creating a straightforward narrative around how your forecasted data compares to actual results.

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AWS Machine Learning

OCTOBER 11, 2024

This post dives deep into Amazon Bedrock Knowledge Bases , which helps with the storage and retrieval of data in vector databases for RAG-based workflows, with the objective to improve large language model (LLM) responses for inference involving an organization’s datasets.

APIs 101

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AWS Machine Learning

SEPTEMBER 6, 2024

Specifically, such data analysis can result in predicting trends and public sentiment while also personalizing customer journeys, ultimately leading to more effective marketing and driving business. The central goal is to empower customers to directly query and analyze their creative performance data through a chat interface.

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Analytics Metrics Chatbots Engineering 121

AWS Machine Learning

NOVEMBER 29, 2023

Data preparation is a crucial step in any machine learning (ML) workflow, yet it often involves tedious and time-consuming tasks. Amazon SageMaker Canvas now supports comprehensive data preparation capabilities powered by Amazon SageMaker Data Wrangler. To import data from Snowflake, follow steps from Set up OAuth for Snowflake.

Engineering 126

Engineering Big data Customer centricity Education 126

Cisco - Contact Center

MARCH 8, 2024

Data is the new fuel for business growth Data is at the heart of seemingly everything these days, from the smart devices in our homes to the mobile apps we use on the go every day. This wealth of… Read more on Cisco Blogs

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Cisco - Contact Center

JUNE 4, 2024

At Cisco Live, we are introducing new and enhanced solutions and technologies enable organizations to operationalize, simplify, and scale data center infrastructures to meet the evolving demands of AI, including a full-stack, cloud-managed AI solution and hyperconverged infrastructure (HCI) to reduce data center footprint and complexity.

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Technology Management 87

AWS Machine Learning

JULY 18, 2024

To equip FMs with up-to-date and proprietary information, organizations use Retrieval Augmented Generation (RAG), a technique that fetches data from company data sources and enriches the prompt to provide more relevant and accurate responses. Create and ingest data and metadata into the knowledge base. txt.metadata.json.

APIs 123

APIs Engineering Enterprise Management 123

C3Centricity

JULY 23, 2024

However, the current data-rich environment offers an enormous untapped potential for SMEs. Today’s technically advanced and data-rich environment makes the strategic use of data a crucial element for success. Why the Superior Use of Data Matters 1. Let me explain. This is what I want to cover in this post.

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Customer centricity Marketing Customer Experience 62

AWS Machine Learning

AUGUST 4, 2023

Data preparation is a critical step in any data-driven project, and having the right tools can greatly enhance operational efficiency. Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare tabular and image data for machine learning (ML) from weeks to minutes.

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Engineering APIs Management 85

AWS Machine Learning

AUGUST 8, 2024

Twilio enables companies to use communications and data to add intelligence and security to every step of the customer journey, from sales and marketing to growth, customer service, and many more engagement use cases in a flexible, programmatic way. Data is the foundational layer for all generative AI and ML applications.

Engineering 120

Engineering Accountability Feedback Construction 120

AWS Machine Learning

JANUARY 5, 2024

Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems.

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AWS Machine Learning

OCTOBER 24, 2024

Conventional ML development cycles take weeks to many months and requires sparse data science understanding and ML development skills. Business analysts’ ideas to use ML models often sit in prolonged backlogs because of data engineering and data science team’s bandwidth and data preparation activities.

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Banking Analytics Engineering Accountability 111

Cisco - Contact Center

AUGUST 27, 2024

Traditional data center operations fall short of meeting today's challenges and opportunities of modernizing IT infrastructure across hybrid clouds and edge environments. To move ahead, operations teams can work smarter, not harder, by adopting infrastructure lifecycle management as a service with Cisco Intersight.

Management 98

Management APIs 98

COPC

OCTOBER 8, 2024

But here’s the reality: none of that happens without reliable data governance. With increasing complexity, AI adds value to your data strategy by automating processes and improving accuracy. This rapid growth demands a greater focus on data integrity, security and ethical standards ( Databricks ).

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Government Healthcare Benchmark Technology 91

Cisco - Contact Center

OCTOBER 17, 2024

Our focus on data-driven sustainability contributed to the Cisco Sustainability Data Foundation being recognized as an Impact Award recipient by SustainableIT.org.

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Cisco - Contact Center

JULY 25, 2024

The need to support hyperscale data centers, pervasive cloud services, and AI workloads is changing the data center paradigm. Today’s data centers need to be scalable, energy efficient, and advance sustainability.

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AWS Machine Learning

AUGUST 14, 2024

Amazon Q Business is a fully managed, generative artificial intelligence (AI)-powered assistant that helps enterprises unlock the value of their data and knowledge. At the core of this capability are native data source connectors that seamlessly integrate and index content from multiple repositories into a unified index.

Enterprise 119

Enterprise APIs Engineering Accountability 119

AWS Machine Learning

AUGUST 21, 2023

Amazon SageMaker Data Wrangler reduces the time it takes to collect and prepare data for machine learning (ML) from weeks to minutes. Data is frequently kept in data lakes that can be managed by AWS Lake Formation , giving you the ability to implement fine-grained access control using a straightforward grant or revoke procedure.

Engineering 93

Engineering Accountability Big data Sales 93

Cisco - Contact Center

JULY 29, 2024

Harnessing data is crucial for success in today's data-driven world, and the surge in AI/ML workloads is accelerating the need for data centers that can deliver it with operational simplicity. The… Read more on Cisco Blogs

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AWS Machine Learning

OCTOBER 4, 2022

Near-real-time delivery of data and insights enable businesses to rapidly respond to their customers’ needs. Real-time data can come from a variety of sources, including social media, IoT devices, infrastructure monitoring, call center monitoring, and more. After that, documents are free of PII entities and users can consume the data.

APIs 101

APIs Banking Analytics Accountability 101

AWS Machine Learning

MARCH 22, 2023

In this post, we show how to configure a new OAuth-based authentication feature for using Snowflake in Amazon SageMaker Data Wrangler. Snowflake is a cloud data platform that provides data solutions for data warehousing to data science. For more information about prerequisites, see Get Started with Data Wrangler.

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APIs Engineering Analytics Scripts 91